Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Establishing engineering S-curves to evaluate supervision engineer allocations for highway construction projects
An engineering consultant firm needs to allocate engineers to supervise a highway construction project in each month during the construction phase. Properly assigning the supervision engineers under a cost-plus-fixed-fee contract has been a key factor affecting the profitability of the firm and the quality assurance of the project. Assigning too many engineers will be a waste, while allocating too few engineers may harm the supervision quality. This work proposes a two-stage model to develop engineering S-curves (called ES-curves) for planning and controlling the engineering supervision schedule. In the planning stage, a predictive ES-curve model is established based on historical ES-curves. In the controlling stage, an ES-curve is built according to the relationships between the engineering progress and construction progress. A cluster analysis and regression analysis are applied to the model development. A case study demonstrates that the produced ES-curves can help management in planning and evaluating when to increase or decrease the number of supervision engineers assigned to a project.
Establishing engineering S-curves to evaluate supervision engineer allocations for highway construction projects
An engineering consultant firm needs to allocate engineers to supervise a highway construction project in each month during the construction phase. Properly assigning the supervision engineers under a cost-plus-fixed-fee contract has been a key factor affecting the profitability of the firm and the quality assurance of the project. Assigning too many engineers will be a waste, while allocating too few engineers may harm the supervision quality. This work proposes a two-stage model to develop engineering S-curves (called ES-curves) for planning and controlling the engineering supervision schedule. In the planning stage, a predictive ES-curve model is established based on historical ES-curves. In the controlling stage, an ES-curve is built according to the relationships between the engineering progress and construction progress. A cluster analysis and regression analysis are applied to the model development. A case study demonstrates that the produced ES-curves can help management in planning and evaluating when to increase or decrease the number of supervision engineers assigned to a project.
Establishing engineering S-curves to evaluate supervision engineer allocations for highway construction projects
Wang, Shih-Hsu (Autor:in) / Wang, Wei-Chih (Autor:in) / Hsu, Pei-Yuan (Autor:in) / Chen, Ci-Hao (Autor:in) / Wang, Kun-Chi (Autor:in)
12.07.2016
doi:10.3846/13923730.2014.928363
Journal of Civil Engineering and Management; Vol 22 No 7 (2016); 890-902 ; 1822-3605 ; 1392-3730
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC:
690
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